Repository logo
 
Publication

Artificial intelligence tools for project management: A knowledge-based perspective

2025Journal article Open access
Simple item page
datacite.subject.fosCiências Sociais::Outras Ciências Sociais
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorAlmeida, Pedro M.
dc.contributor.authorFernandes, Gabriela
dc.contributor.authorSantos, José M.R.C.A.
dc.date.accessioned2025-10-31T18:47:40Z
dc.date.available2025-10-31T18:47:40Z
dc.date.issued2025
dc.description.abstractThe rapid evolution of artificial intelligence is pressing the need to understand how organisations can integrate it into namely project management to enhance performance and outcomes. Through a systematic literature review, this paper explores artificial intelligence's potential use in project management. The thematic analysis of relevant literature identified key project management knowledge areas, such as integration, scope, communication, risk and stakeholder management, were as domains where artificial intelligence holds significant potential. The study further investigates the relationship between these knowledge areas and the most suitable types of artificial intelligence tools, such as generative artificial intelligence, and machine learning algorithms for optimisation and automation, based on the dominant knowledge type each knowledge area requires, namely formal, data-driven, or tacit knowledge. Based on the main findings, the study proposes a conceptual framework for the integration of artificial intelligence tools in project management, offering valuable insights for scholars and practitioners. Moreover, guidelines for future research to accelerate the wide adoption of artificial intelligence in the field are proposed.eng
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through FCT/MCTES (PIDDAC): CIMO, UIDB/00690/2020 (DOI: 10.54499/UIDB/00690/2020) and UIDP/00690/2020 (DOI: 10.54499/UIDP/00690/2020); SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020); ARISE (LA/P/0112/2020); and CEMMPRE (UIDB/00285/2020). This research is sponsored by national funds through FCT – Fundação para a Ciência e a Tecnologia, under projects UID/00285 - Centre for Mechanical Engineering, Materials and Processes and LA/P/0112/2020. The co-authors (Gabriela Fernandes and José M. R. C. A. Santos) contributed to this article with conceptualization, supervision and writing – review and editing, according to the Contributor Role Taxonomy (CRediT).
dc.identifier.citationAlmeida, Pedro M.; Fernandes, Gabriela; Santos, Jose M. R. C. A. (2025) Artificial intelligence tools for project management: A knowledge-based perspective. Project Leadership and Society. ISSN 2666-7215. 6; p. 1-11
dc.identifier.doi10.1016/j.plas.2025.100196
dc.identifier.issn2666-7215
dc.identifier.urihttp://hdl.handle.net/10198/34913
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.relationMountain Research Center
dc.relationCentre for Mechanical Enginnering, Materials and Processes
dc.relation.ispartofProject Leadership and Society
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectArtificial intelligence
dc.subjectProject management
dc.subjectSystematic literature review
dc.subjectIntegration
dc.subjectTools
dc.titleArtificial intelligence tools for project management: A knowledge-based perspectiveeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardTitleMountain Research Center
oaire.awardTitleCentre for Mechanical Enginnering, Materials and Processes
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00285%2F2020/PT
oaire.citation.endPage11
oaire.citation.startPage1
oaire.citation.titleProject Leadership and Society
oaire.citation.volume6
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSantos
person.givenNameJosé M.R.C.A.
person.identifierC-6356-2014
person.identifier.ciencia-id6D15-D5FA-4CCE
person.identifier.orcid0000-0003-2103-4085
person.identifier.scopus-author-id24802593600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationb37a5b04-3c3d-48d7-84c2-ae90ac708167
relation.isAuthorOfPublication.latestForDiscoveryb37a5b04-3c3d-48d7-84c2-ae90ac708167
relation.isProjectOfPublication6255046e-bc79-4b82-8884-8b52074b4384
relation.isProjectOfPublication0aac8939-28c2-46f4-ab6b-439dba7f9942
relation.isProjectOfPublication63dbd8e9-f7f4-4e2d-b26b-f2f00b4a8d6c
relation.isProjectOfPublication.latestForDiscovery6255046e-bc79-4b82-8884-8b52074b4384

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Artificial intelligence tools for project management.pdf
Size:
2.06 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

CIMO - Artigos em Revistas Indexados à WoS/Scopus